Overview

Brought to you by YData

Dataset statistics

Number of variables20
Number of observations501
Missing cells758
Missing cells (%)7.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory78.4 KiB
Average record size in memory160.3 B

Variable types

DateTime1
Numeric19

Alerts

52_Week_High is highly overall correlated with 52_Week_Low and 9 other fieldsHigh correlation
52_Week_Low is highly overall correlated with 52_Week_High and 6 other fieldsHigh correlation
ADX is highly overall correlated with MACDHigh correlation
Adj Close is highly overall correlated with 52_Week_High and 10 other fieldsHigh correlation
Aroon_Down is highly overall correlated with Aroon_Up and 3 other fieldsHigh correlation
Aroon_Up is highly overall correlated with Aroon_Down and 3 other fieldsHigh correlation
BB_lower is highly overall correlated with 52_Week_High and 9 other fieldsHigh correlation
BB_upper is highly overall correlated with Adj Close and 7 other fieldsHigh correlation
Close is highly overall correlated with 52_Week_High and 10 other fieldsHigh correlation
EMA5 is highly overall correlated with 52_Week_High and 10 other fieldsHigh correlation
High is highly overall correlated with 52_Week_High and 10 other fieldsHigh correlation
Low is highly overall correlated with 52_Week_High and 10 other fieldsHigh correlation
MACD is highly overall correlated with ADX and 3 other fieldsHigh correlation
MACD_signal is highly overall correlated with Aroon_Down and 2 other fieldsHigh correlation
OBV is highly overall correlated with 52_Week_High and 8 other fieldsHigh correlation
Open is highly overall correlated with 52_Week_High and 10 other fieldsHigh correlation
RSI15 is highly overall correlated with Aroon_Down and 3 other fieldsHigh correlation
SMA15 is highly overall correlated with 52_Week_High and 9 other fieldsHigh correlation
SMA15 has 14 (2.8%) missing values Missing
RSI15 has 15 (3.0%) missing values Missing
BB_upper has 55 (11.0%) missing values Missing
BB_lower has 55 (11.0%) missing values Missing
MACD has 25 (5.0%) missing values Missing
MACD_signal has 33 (6.6%) missing values Missing
52_Week_High has 251 (50.1%) missing values Missing
52_Week_Low has 251 (50.1%) missing values Missing
ADX has 27 (5.4%) missing values Missing
Aroon_Up has 14 (2.8%) missing values Missing
Aroon_Down has 14 (2.8%) missing values Missing
Date has unique values Unique
Volume has unique values Unique
Aroon_Up has 105 (21.0%) zeros Zeros
Aroon_Down has 59 (11.8%) zeros Zeros

Reproduction

Analysis started2024-10-18 17:26:25.334353
Analysis finished2024-10-18 17:26:47.717780
Duration22.38 seconds
Software versionydata-profiling vv4.11.0
Download configurationconfig.json

Variables

Date
Date

Unique 

Distinct501
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
Minimum2022-10-17 00:00:00
Maximum2024-10-14 00:00:00
2024-10-18T13:26:47.768779image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:47.855024image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Open
Real number (ℝ)

High correlation 

Distinct481
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean179.70834
Minimum126.01
Maximum236.48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-10-18T13:26:47.946984image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum126.01
5-th percentile138.5
Q1165
median179.17999
Q3192.89999
95-th percentile227.00999
Maximum236.48
Range110.46999
Interquartile range (IQR)27.899994

Descriptive statistics

Standard deviation25.717789
Coefficient of variation (CV)0.14310849
Kurtosis-0.4628707
Mean179.70834
Median Absolute Deviation (MAD)13.98999
Skewness0.17784128
Sum90033.88
Variance661.40469
MonotonicityNot monotonic
2024-10-18T13:26:48.034284image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
181.2700043 3
 
0.6%
229.3000031 2
 
0.4%
173.0500031 2
 
0.4%
196.8999939 2
 
0.4%
184.8999939 2
 
0.4%
180.0700073 2
 
0.4%
171.0899963 2
 
0.4%
176.4799957 2
 
0.4%
191.5700073 2
 
0.4%
189.8399963 2
 
0.4%
Other values (471) 480
95.8%
ValueCountFrequency (%)
126.0100021 1
0.2%
126.8899994 1
0.2%
127.1299973 1
0.2%
127.9899979 1
0.2%
128.4100037 1
0.2%
129.6699982 1
0.2%
130.2599945 1
0.2%
130.2799988 1
0.2%
130.4700012 1
0.2%
130.9199982 1
0.2%
ValueCountFrequency (%)
236.4799957 1
0.2%
235 1
0.2%
231.3899994 1
0.2%
230.2799988 1
0.2%
230.1900024 1
0.2%
230.1000061 1
0.2%
230.0399933 1
0.2%
229.9700012 1
0.2%
229.5200043 1
0.2%
229.4499969 1
0.2%

High
Real number (ℝ)

High correlation 

Distinct489
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean181.46309
Minimum127.77
Maximum237.23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-10-18T13:26:48.118678image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum127.77
5-th percentile141.42999
Q1166.31
median180.27
Q3194.33
95-th percentile228.34
Maximum237.23
Range109.46
Interquartile range (IQR)28.020004

Descriptive statistics

Standard deviation25.752775
Coefficient of variation (CV)0.14191742
Kurtosis-0.46389466
Mean181.46309
Median Absolute Deviation (MAD)14.050003
Skewness0.20170235
Sum90913.01
Variance663.2054
MonotonicityNot monotonic
2024-10-18T13:26:48.207174image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
184.8999939 2
 
0.4%
180.1199951 2
 
0.4%
194.3999939 2
 
0.4%
174.0299988 2
 
0.4%
174.3000031 2
 
0.4%
182.7599945 2
 
0.4%
196.6300049 2
 
0.4%
187.0500031 2
 
0.4%
187.1000061 2
 
0.4%
147.2299957 2
 
0.4%
Other values (479) 481
96.0%
ValueCountFrequency (%)
127.7699966 1
0.2%
128.6600037 1
0.2%
129.9499969 1
0.2%
130.2899933 1
0.2%
130.4799957 1
0.2%
130.8999939 1
0.2%
131.0299988 1
0.2%
131.2599945 1
0.2%
131.4100037 1
0.2%
132.4199982 1
0.2%
ValueCountFrequency (%)
237.2299957 1
0.2%
236.2700043 1
0.2%
233.0899963 1
0.2%
233.0800018 1
0.2%
233 1
0.2%
232.9199982 1
0.2%
232.6399994 1
0.2%
232.3899994 1
0.2%
231.7299957 1
0.2%
231.4600067 1
0.2%

Low
Real number (ℝ)

High correlation 

Distinct493
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean178.1123
Minimum124.17
Maximum233.09
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-10-18T13:26:48.295259image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum124.17
5-th percentile135.67
Q1164.03
median177.35001
Q3191.72
95-th percentile224.13
Maximum233.09
Range108.92
Interquartile range (IQR)27.690002

Descriptive statistics

Standard deviation25.578688
Coefficient of variation (CV)0.14360989
Kurtosis-0.46567171
Mean178.1123
Median Absolute Deviation (MAD)13.87999
Skewness0.13054052
Sum89234.26
Variance654.26926
MonotonicityNot monotonic
2024-10-18T13:26:48.386547image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
177.6000061 2
 
0.4%
142.6499939 2
 
0.4%
182.4400024 2
 
0.4%
129.8899994 2
 
0.4%
223.25 2
 
0.4%
194.1399994 2
 
0.4%
172.0500031 2
 
0.4%
170.7599945 2
 
0.4%
181.3500061 1
 
0.2%
188 1
 
0.2%
Other values (483) 483
96.4%
ValueCountFrequency (%)
124.1699982 1
0.2%
124.7600021 1
0.2%
124.8899994 1
0.2%
125.0800018 1
0.2%
125.8700027 1
0.2%
127.4300003 1
0.2%
127.7300034 1
0.2%
128.1199951 1
0.2%
128.7200012 1
0.2%
129.6399994 1
0.2%
ValueCountFrequency (%)
233.0899963 1
0.2%
232.3300018 1
0.2%
229.6499939 1
0.2%
229.25 1
0.2%
228.8800049 1
0.2%
228.6799927 1
0.2%
228.6000061 1
0.2%
227.6199951 1
0.2%
227.4799957 1
0.2%
227.3399963 1
0.2%

Close
Real number (ℝ)

High correlation 

Distinct487
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean179.88828
Minimum125.02
Maximum234.82001
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-10-18T13:26:48.476807image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum125.02
5-th percentile138.38
Q1165.23
median179.07001
Q3192.58
95-th percentile226.50999
Maximum234.82001
Range109.80001
Interquartile range (IQR)27.350006

Descriptive statistics

Standard deviation25.689062
Coefficient of variation (CV)0.14280564
Kurtosis-0.45899556
Mean179.88828
Median Absolute Deviation (MAD)13.740005
Skewness0.16657579
Sum90124.03
Variance659.92791
MonotonicityNot monotonic
2024-10-18T13:26:48.567645image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
173 2
 
0.4%
169.3000031 2
 
0.4%
175.8399963 2
 
0.4%
222.7700043 2
 
0.4%
177.9700012 2
 
0.4%
179.8000031 2
 
0.4%
178.8500061 2
 
0.4%
172.6900024 2
 
0.4%
172.0700073 2
 
0.4%
176.0800018 2
 
0.4%
Other values (477) 481
96.0%
ValueCountFrequency (%)
125.0199966 1
0.2%
125.0699997 1
0.2%
126.0400009 1
0.2%
126.3600006 1
0.2%
129.6100006 1
0.2%
129.6199951 1
0.2%
129.9299927 1
0.2%
130.0299988 1
0.2%
130.1499939 1
0.2%
130.7299957 1
0.2%
ValueCountFrequency (%)
234.8200073 1
0.2%
234.3999939 1
0.2%
233 1
0.2%
232.9799957 1
0.2%
231.3000031 1
0.2%
230.5399933 1
0.2%
229.7899933 1
0.2%
229.5399933 1
0.2%
229.0399933 1
0.2%
229 1
0.2%

Adj Close
Real number (ℝ)

High correlation 

Distinct496
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean179.07844
Minimum123.85509
Maximum234.54852
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-10-18T13:26:48.652829image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum123.85509
5-th percentile137.09062
Q1164.0396
median178.15836
Q3191.88765
95-th percentile226.50999
Maximum234.54852
Range110.69344
Interquartile range (IQR)27.848053

Descriptive statistics

Standard deviation26.051532
Coefficient of variation (CV)0.14547554
Kurtosis-0.46040562
Mean179.07844
Median Absolute Deviation (MAD)13.86937
Skewness0.17343399
Sum89718.299
Variance678.68233
MonotonicityNot monotonic
2024-10-18T13:26:48.740212image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
162.4818268 2
 
0.4%
222.7700043 2
 
0.4%
168.8752136 2
 
0.4%
174.9447784 2
 
0.4%
170.9631195 2
 
0.4%
180.7054596 1
 
0.2%
182.0620575 1
 
0.2%
183.9073792 1
 
0.2%
182.1717682 1
 
0.2%
186.6804199 1
 
0.2%
Other values (486) 486
97.0%
ValueCountFrequency (%)
123.8550873 1
0.2%
123.9046326 1
0.2%
124.8655853 1
0.2%
125.1826096 1
0.2%
128.4023285 1
0.2%
128.4122314 1
0.2%
128.7193604 1
0.2%
128.8184204 1
0.2%
128.9372864 1
0.2%
129.5118866 1
0.2%
ValueCountFrequency (%)
234.5485229 1
0.2%
234.1289978 1
0.2%
233 1
0.2%
232.7106323 1
0.2%
231.3000031 1
0.2%
230.2734528 1
0.2%
229.7899933 1
0.2%
229.5399933 1
0.2%
229.0399933 1
0.2%
229 1
0.2%

Volume
Real number (ℝ)

Unique 

Distinct501
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62237234
Minimum24048300
Maximum3.186799 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-10-18T13:26:48.827332image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum24048300
5-th percentile37266700
Q147471400
median55859400
Q369668800
95-th percentile1.02518 × 108
Maximum3.186799 × 108
Range2.946316 × 108
Interquartile range (IQR)22197400

Descriptive statistics

Standard deviation26252178
Coefficient of variation (CV)0.42180823
Kurtosis25.157686
Mean62237234
Median Absolute Deviation (MAD)10361600
Skewness3.7423958
Sum3.1180854 × 1010
Variance6.8917683 × 1014
MonotonicityNot monotonic
2024-10-18T13:26:48.910392image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
85250900 1
 
0.2%
45155200 1
 
0.2%
136682600 1
 
0.2%
48953900 1
 
0.2%
54318900 1
 
0.2%
40867400 1
 
0.2%
45119700 1
 
0.2%
52292200 1
 
0.2%
41529700 1
 
0.2%
53665600 1
 
0.2%
Other values (491) 491
98.0%
ValueCountFrequency (%)
24048300 1
0.2%
28183500 1
0.2%
28919300 1
0.2%
30299000 1
0.2%
30602200 1
0.2%
31458200 1
0.2%
31759200 1
0.2%
31855700 1
0.2%
32880600 1
0.2%
33591100 1
0.2%
ValueCountFrequency (%)
318679900 1
0.2%
246421400 1
0.2%
198134300 1
0.2%
172373300 1
0.2%
164762400 1
0.2%
163224100 1
0.2%
160156900 1
0.2%
154357300 1
0.2%
140814800 1
0.2%
136682600 1
0.2%

SMA15
Real number (ℝ)

High correlation  Missing 

Distinct486
Distinct (%)99.8%
Missing14
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean179.68041
Minimum129.78466
Maximum227.49333
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-10-18T13:26:48.994902image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum129.78466
5-th percentile139.1196
Q1166.30833
median179.00267
Q3191.28533
95-th percentile224.8836
Maximum227.49333
Range97.708669
Interquartile range (IQR)24.977

Descriptive statistics

Standard deviation24.725595
Coefficient of variation (CV)0.13760874
Kurtosis-0.42644996
Mean179.68041
Median Absolute Deviation (MAD)12.449335
Skewness0.13638199
Sum87504.36
Variance611.35506
MonotonicityNot monotonic
2024-10-18T13:26:49.080148image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
169.8519999 2
 
0.4%
188.2246653 1
 
0.2%
181.1313334 1
 
0.2%
182.2666667 1
 
0.2%
183.1833333 1
 
0.2%
183.7606669 1
 
0.2%
184.3380005 1
 
0.2%
184.8633341 1
 
0.2%
185.2 1
 
0.2%
185.5126668 1
 
0.2%
Other values (476) 476
95.0%
(Missing) 14
 
2.8%
ValueCountFrequency (%)
129.7846644 1
0.2%
129.8593318 1
0.2%
129.8873316 1
0.2%
129.9333318 1
0.2%
130.0366643 1
0.2%
130.1346654 1
0.2%
130.3579992 1
0.2%
130.4599981 1
0.2%
130.7073329 1
0.2%
131.3659988 1
0.2%
ValueCountFrequency (%)
227.4933329 1
0.2%
227.4206665 1
0.2%
227.3053324 1
0.2%
227.2146657 1
0.2%
227.2033325 1
0.2%
227.1713328 1
0.2%
227.0346659 1
0.2%
226.8700002 1
0.2%
226.6133331 1
0.2%
226.476 1
0.2%

EMA5
Real number (ℝ)

High correlation 

Distinct497
Distinct (%)100.0%
Missing4
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean179.83538
Minimum126.80043
Maximum231.94169
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-10-18T13:26:49.247770image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum126.80043
5-th percentile139.15757
Q1165.61572
median178.84373
Q3192.20858
95-th percentile226.12229
Maximum231.94169
Range105.14126
Interquartile range (IQR)26.592856

Descriptive statistics

Standard deviation25.32719
Coefficient of variation (CV)0.14083541
Kurtosis-0.46340315
Mean179.83538
Median Absolute Deviation (MAD)13.364846
Skewness0.15872736
Sum89378.183
Variance641.46655
MonotonicityNot monotonic
2024-10-18T13:26:49.330831image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
188.5897737 1
 
0.2%
181.6952611 1
 
0.2%
182.1678917 1
 
0.2%
182.5418384 1
 
0.2%
182.4977552 1
 
0.2%
183.166631 1
 
0.2%
183.4899443 1
 
0.2%
183.0499189 1
 
0.2%
183.4148747 1
 
0.2%
184.3423132 1
 
0.2%
Other values (487) 487
97.2%
(Missing) 4
 
0.8%
ValueCountFrequency (%)
126.8004297 1
0.2%
127.6906462 1
0.2%
127.7402848 1
0.2%
128.355969 1
0.2%
128.5435212 1
0.2%
129.272346 1
0.2%
129.9989536 1
0.2%
130.0334341 1
0.2%
130.2451509 1
0.2%
130.6782325 1
0.2%
ValueCountFrequency (%)
231.941693 1
0.2%
230.9211303 1
0.2%
230.5025358 1
0.2%
228.9762066 1
0.2%
228.7873276 1
0.2%
228.6740844 1
0.2%
228.5538068 1
0.2%
228.1389397 1
0.2%
228.05414 1
0.2%
227.7084095 1
0.2%

RSI15
Real number (ℝ)

High correlation  Missing 

Distinct486
Distinct (%)100.0%
Missing15
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean54.375941
Minimum23.155501
Maximum78.825323
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-10-18T13:26:49.411872image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum23.155501
5-th percentile34.160743
Q144.434008
median55.812821
Q363.968306
95-th percentile71.016379
Maximum78.825323
Range55.669822
Interquartile range (IQR)19.534298

Descriptive statistics

Standard deviation11.998514
Coefficient of variation (CV)0.22065851
Kurtosis-0.84587132
Mean54.375941
Median Absolute Deviation (MAD)9.4771502
Skewness-0.2908939
Sum26426.707
Variance143.96435
MonotonicityNot monotonic
2024-10-18T13:26:49.491112image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
59.5350287 1
 
0.2%
23.26786997 1
 
0.2%
24.18057922 1
 
0.2%
29.57230934 1
 
0.2%
36.53429775 1
 
0.2%
38.55954062 1
 
0.2%
39.82611183 1
 
0.2%
42.16039404 1
 
0.2%
38.04279594 1
 
0.2%
40.53453163 1
 
0.2%
Other values (476) 476
95.0%
(Missing) 15
 
3.0%
ValueCountFrequency (%)
23.15550091 1
0.2%
23.26786997 1
0.2%
24.18057922 1
0.2%
28.39547045 1
0.2%
28.49009051 1
0.2%
29.57230934 1
0.2%
29.8260351 1
0.2%
30.20797604 1
0.2%
30.47559708 1
0.2%
30.92979074 1
0.2%
ValueCountFrequency (%)
78.8253234 1
0.2%
78.19821939 1
0.2%
78.17180387 1
0.2%
77.84977517 1
0.2%
77.00159026 1
0.2%
75.67236768 1
0.2%
75.35189859 1
0.2%
75.14103526 1
0.2%
74.65318481 1
0.2%
74.23724117 1
0.2%

BB_upper
Real number (ℝ)

High correlation  Missing 

Distinct446
Distinct (%)100.0%
Missing55
Missing (%)11.0%
Infinite0
Infinite (%)0.0%
Mean163.24002
Minimum122.88592
Maximum212.29142
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-10-18T13:26:49.574570image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum122.88592
5-th percentile123.73375
Q1155.92873
median165.29638
Q3172.72196
95-th percentile209.26472
Maximum212.29142
Range89.405501
Interquartile range (IQR)16.793226

Descriptive statistics

Standard deviation21.669824
Coefficient of variation (CV)0.13274823
Kurtosis0.26342497
Mean163.24002
Median Absolute Deviation (MAD)8.0886096
Skewness0.054256655
Sum72805.05
Variance469.58129
MonotonicityNot monotonic
2024-10-18T13:26:49.657795image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
173.4749743 1
 
0.2%
168.3453491 1
 
0.2%
168.8334098 1
 
0.2%
169.3191251 1
 
0.2%
169.366259 1
 
0.2%
169.5785477 1
 
0.2%
169.9714128 1
 
0.2%
170.4660207 1
 
0.2%
170.9391839 1
 
0.2%
171.6134467 1
 
0.2%
Other values (436) 436
87.0%
(Missing) 55
 
11.0%
ValueCountFrequency (%)
122.8859171 1
0.2%
122.95045 1
0.2%
123.0080998 1
0.2%
123.0459483 1
0.2%
123.0977908 1
0.2%
123.0993478 1
0.2%
123.101654 1
0.2%
123.1079893 1
0.2%
123.1149083 1
0.2%
123.1154559 1
0.2%
ValueCountFrequency (%)
212.2914179 1
0.2%
212.1657245 1
0.2%
212.150372 1
0.2%
212.1141529 1
0.2%
212.113259 1
0.2%
212.1114786 1
0.2%
212.0587633 1
0.2%
212.0157187 1
0.2%
211.8229866 1
0.2%
211.6683534 1
0.2%

BB_lower
Real number (ℝ)

High correlation  Missing 

Distinct446
Distinct (%)100.0%
Missing55
Missing (%)11.0%
Infinite0
Infinite (%)0.0%
Mean195.21405
Minimum154.54947
Maximum239.75063
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-10-18T13:26:49.740106image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum154.54947
5-th percentile157.71758
Q1184.18415
median196.79921
Q3200.56798
95-th percentile238.03922
Maximum239.75063
Range85.201154
Interquartile range (IQR)16.38383

Descriptive statistics

Standard deviation22.993248
Coefficient of variation (CV)0.1177848
Kurtosis-0.36280482
Mean195.21405
Median Absolute Deviation (MAD)10.283484
Skewness0.27553222
Sum87065.467
Variance528.68947
MonotonicityNot monotonic
2024-10-18T13:26:49.822296image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
199.6157392 1
 
0.2%
196.6782208 1
 
0.2%
196.667303 1
 
0.2%
196.9373021 1
 
0.2%
197.4226683 1
 
0.2%
197.8200222 1
 
0.2%
198.1175143 1
 
0.2%
198.3721926 1
 
0.2%
198.6733147 1
 
0.2%
198.8454804 1
 
0.2%
Other values (436) 436
87.0%
(Missing) 55
 
11.0%
ValueCountFrequency (%)
154.5494731 1
0.2%
154.6670764 1
0.2%
154.6894589 1
0.2%
154.9190315 1
0.2%
155.0183212 1
0.2%
155.0809732 1
0.2%
155.1537713 1
0.2%
155.3604256 1
0.2%
155.5929189 1
0.2%
155.7205963 1
0.2%
ValueCountFrequency (%)
239.7506273 1
0.2%
239.7233551 1
0.2%
239.6717839 1
0.2%
239.5378257 1
0.2%
239.4809472 1
0.2%
239.471225 1
0.2%
239.3987192 1
0.2%
239.2934798 1
0.2%
239.2486093 1
0.2%
239.2023306 1
0.2%

MACD
Real number (ℝ)

High correlation  Missing 

Distinct476
Distinct (%)100.0%
Missing25
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean1.1718227
Minimum-4.8689513
Maximum8.9480596
Zeros0
Zeros (%)0.0%
Negative175
Negative (%)34.9%
Memory size4.0 KiB
2024-10-18T13:26:49.900364image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-4.8689513
5-th percentile-3.4153748
Q1-1.2281441
median1.3780468
Q33.1245835
95-th percentile6.2372765
Maximum8.9480596
Range13.817011
Interquartile range (IQR)4.3527276

Descriptive statistics

Standard deviation2.9010908
Coefficient of variation (CV)2.475708
Kurtosis-0.3772477
Mean1.1718227
Median Absolute Deviation (MAD)2.119134
Skewness0.14752866
Sum557.78759
Variance8.4163277
MonotonicityNot monotonic
2024-10-18T13:26:49.984537image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.66980569 1
 
0.2%
-4.328219524 1
 
0.2%
-4.418886469 1
 
0.2%
-4.264662585 1
 
0.2%
-3.829640352 1
 
0.2%
-3.230907619 1
 
0.2%
-2.521530092 1
 
0.2%
-2.086485274 1
 
0.2%
-1.965151673 1
 
0.2%
-1.892683298 1
 
0.2%
Other values (466) 466
93.0%
(Missing) 25
 
5.0%
ValueCountFrequency (%)
-4.868951272 1
0.2%
-4.749554958 1
0.2%
-4.664514176 1
0.2%
-4.540057324 1
0.2%
-4.418886469 1
0.2%
-4.395459492 1
0.2%
-4.356778188 1
0.2%
-4.348315937 1
0.2%
-4.328219524 1
0.2%
-4.264662585 1
0.2%
ValueCountFrequency (%)
8.948059554 1
0.2%
8.831361379 1
0.2%
8.702802914 1
0.2%
8.59672091 1
0.2%
8.565209379 1
0.2%
8.46367121 1
0.2%
8.201000891 1
0.2%
8.156441566 1
0.2%
7.957186813 1
0.2%
7.879050243 1
0.2%

MACD_signal
Real number (ℝ)

High correlation  Missing 

Distinct468
Distinct (%)100.0%
Missing33
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean0.0023191943
Minimum-2.4848313
Maximum1.8862933
Zeros0
Zeros (%)0.0%
Negative237
Negative (%)47.3%
Memory size4.0 KiB
2024-10-18T13:26:50.069018image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-2.4848313
5-th percentile-1.5489028
Q1-0.4553958
median-0.0094232027
Q30.53079316
95-th percentile1.573717
Maximum1.8862933
Range4.3711246
Interquartile range (IQR)0.98618896

Descriptive statistics

Standard deviation0.8867459
Coefficient of variation (CV)382.35084
Kurtosis0.24872079
Mean0.0023191943
Median Absolute Deviation (MAD)0.49638608
Skewness-0.22032493
Sum1.0853829
Variance0.7863183
MonotonicityNot monotonic
2024-10-18T13:26:50.153373image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.344515575 1
 
0.2%
-0.232911981 1
 
0.2%
-0.4911453775 1
 
0.2%
-0.6182260195 1
 
0.2%
-0.9314325761 1
 
0.2%
-1.254957664 1
 
0.2%
-1.414473197 1
 
0.2%
-1.333069263 1
 
0.2%
-1.067603846 1
 
0.2%
-0.6251272799 1
 
0.2%
Other values (458) 458
91.4%
(Missing) 33
 
6.6%
ValueCountFrequency (%)
-2.484831307 1
0.2%
-2.453164007 1
0.2%
-2.42467195 1
0.2%
-2.423235652 1
0.2%
-2.344639915 1
0.2%
-2.28839924 1
0.2%
-2.282558239 1
0.2%
-2.276334983 1
0.2%
-2.1648618 1
0.2%
-2.137651576 1
0.2%
ValueCountFrequency (%)
1.886293268 1
0.2%
1.866741577 1
0.2%
1.854663747 1
0.2%
1.842071977 1
0.2%
1.827272307 1
0.2%
1.801710827 1
0.2%
1.801172385 1
0.2%
1.792670079 1
0.2%
1.776628825 1
0.2%
1.771865173 1
0.2%

OBV
Real number (ℝ)

High correlation 

Distinct500
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.4398366 × 108
Minimum-4.868175 × 108
Maximum2.0454186 × 109
Zeros0
Zeros (%)0.0%
Negative26
Negative (%)5.2%
Memory size4.0 KiB
2024-10-18T13:26:50.234623image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-4.868175 × 108
5-th percentile-26020600
Q14.188866 × 108
median8.452331 × 108
Q31.1279714 × 109
95-th percentile1.8716728 × 109
Maximum2.0454186 × 109
Range2.5322361 × 109
Interquartile range (IQR)7.090848 × 108

Descriptive statistics

Standard deviation5.5791522 × 108
Coefficient of variation (CV)0.66104979
Kurtosis-0.37740897
Mean8.4398366 × 108
Median Absolute Deviation (MAD)3.748774 × 108
Skewness0.13843531
Sum4.2283581 × 1011
Variance3.112694 × 1017
MonotonicityNot monotonic
2024-10-18T13:26:50.323040image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
666760900 2
 
0.4%
85250900 1
 
0.2%
935697900 1
 
0.2%
532253600 1
 
0.2%
668936200 1
 
0.2%
717890100 1
 
0.2%
663571200 1
 
0.2%
704438600 1
 
0.2%
749558300 1
 
0.2%
697266100 1
 
0.2%
Other values (490) 490
97.8%
ValueCountFrequency (%)
-486817500 1
0.2%
-446197100 1
0.2%
-438046200 1
0.2%
-411113800 1
0.2%
-401379100 1
0.2%
-357083500 1
0.2%
-350291500 1
0.2%
-334079600 1
0.2%
-332371300 1
0.2%
-279500700 1
0.2%
ValueCountFrequency (%)
2045418600 1
0.2%
2030502000 1
0.2%
2016647900 1
0.2%
2000283400 1
0.2%
1989894600 1
0.2%
1980713300 1
0.2%
1978637300 1
0.2%
1978595700 1
0.2%
1977511200 1
0.2%
1969347100 1
0.2%

52_Week_High
Real number (ℝ)

High correlation  Missing 

Distinct11
Distinct (%)4.4%
Missing251
Missing (%)50.1%
Infinite0
Infinite (%)0.0%
Mean211.1826
Minimum198.23
Maximum237.23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-10-18T13:26:50.395201image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum198.23
5-th percentile198.23
Q1199.62
median199.62
Q3237.23
95-th percentile237.23
Maximum237.23
Range39
Interquartile range (IQR)37.610001

Descriptive statistics

Standard deviation16.86661
Coefficient of variation (CV)0.079867423
Kurtosis-1.2933055
Mean211.1826
Median Absolute Deviation (MAD)1.3899994
Skewness0.78307331
Sum52795.649
Variance284.48252
MonotonicityIncreasing
2024-10-18T13:26:50.463201image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
199.6199951 122
24.4%
237.2299957 65
 
13.0%
198.2299957 41
 
8.2%
220.1999969 13
 
2.6%
233.0800018 3
 
0.6%
207.1600037 1
 
0.2%
220.3800049 1
 
0.2%
221.5500031 1
 
0.2%
226.4499969 1
 
0.2%
227.8500061 1
 
0.2%
(Missing) 251
50.1%
ValueCountFrequency (%)
198.2299957 41
 
8.2%
199.6199951 122
24.4%
207.1600037 1
 
0.2%
220.1999969 13
 
2.6%
220.3800049 1
 
0.2%
221.5500031 1
 
0.2%
226.4499969 1
 
0.2%
227.8500061 1
 
0.2%
229.3999939 1
 
0.2%
233.0800018 3
 
0.6%
ValueCountFrequency (%)
237.2299957 65
13.0%
233.0800018 3
 
0.6%
229.3999939 1
 
0.2%
227.8500061 1
 
0.2%
226.4499969 1
 
0.2%
221.5500031 1
 
0.2%
220.3800049 1
 
0.2%
220.1999969 13
 
2.6%
207.1600037 1
 
0.2%
199.6199951 122
24.4%

52_Week_Low
Real number (ℝ)

High correlation  Missing 

Distinct25
Distinct (%)10.0%
Missing251
Missing (%)50.1%
Infinite0
Infinite (%)0.0%
Mean150.31684
Minimum124.17
Maximum164.08
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-10-18T13:26:50.532356image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum124.17
5-th percentile124.17
Q1133.77
median162.8
Q3164.08
95-th percentile164.08
Maximum164.08
Range39.910004
Interquartile range (IQR)30.309998

Descriptive statistics

Standard deviation16.61323
Coefficient of variation (CV)0.11052142
Kurtosis-1.2882613
Mean150.31684
Median Absolute Deviation (MAD)1.2799988
Skewness-0.66549652
Sum37579.21
Variance275.99941
MonotonicityIncreasing
2024-10-18T13:26:50.610678image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
164.0800018 118
23.6%
124.1699982 54
 
10.8%
143.8999939 20
 
4.0%
162.8000031 9
 
1.8%
159.7799988 9
 
1.8%
155.9799957 6
 
1.2%
141.3200073 5
 
1.0%
147.6100006 5
 
1.0%
133.7700043 3
 
0.6%
154.1499939 2
 
0.4%
Other values (15) 19
 
3.8%
(Missing) 251
50.1%
ValueCountFrequency (%)
124.1699982 54
10.8%
124.7600021 2
 
0.4%
124.8899994 1
 
0.2%
128.1199951 2
 
0.4%
130.4600067 1
 
0.2%
131.4400024 1
 
0.2%
131.6600037 1
 
0.2%
133.7700043 3
 
0.6%
134.2200012 1
 
0.2%
137.8999939 1
 
0.2%
ValueCountFrequency (%)
164.0800018 118
23.6%
162.8000031 9
 
1.8%
161.4199982 1
 
0.2%
159.7799988 9
 
1.8%
159.3500061 1
 
0.2%
155.9799957 6
 
1.2%
154.1499939 2
 
0.4%
151.6399994 1
 
0.2%
149.9199982 2
 
0.4%
147.6999969 1
 
0.2%

ADX
Real number (ℝ)

High correlation  Missing 

Distinct474
Distinct (%)100.0%
Missing27
Missing (%)5.4%
Infinite0
Infinite (%)0.0%
Mean28.054686
Minimum9.5097196
Maximum51.031803
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-10-18T13:26:50.696998image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum9.5097196
5-th percentile12.754647
Q120.189593
median27.427236
Q334.092572
95-th percentile46.071649
Maximum51.031803
Range41.522084
Interquartile range (IQR)13.902979

Descriptive statistics

Standard deviation10.188721
Coefficient of variation (CV)0.36317358
Kurtosis-0.67905844
Mean28.054686
Median Absolute Deviation (MAD)6.9238462
Skewness0.22666264
Sum13297.921
Variance103.81003
MonotonicityNot monotonic
2024-10-18T13:26:50.780531image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26.15200688 1
 
0.2%
33.84238816 1
 
0.2%
33.92149849 1
 
0.2%
33.68235847 1
 
0.2%
31.86712325 1
 
0.2%
29.94135544 1
 
0.2%
28.00805456 1
 
0.2%
26.65759169 1
 
0.2%
26.05620858 1
 
0.2%
26.0524617 1
 
0.2%
Other values (464) 464
92.6%
(Missing) 27
 
5.4%
ValueCountFrequency (%)
9.509719618 1
0.2%
9.585252113 1
0.2%
9.661744416 1
0.2%
10.01606955 1
0.2%
10.04841679 1
0.2%
10.15655064 1
0.2%
10.16721998 1
0.2%
10.26899789 1
0.2%
10.27300247 1
0.2%
10.39841214 1
0.2%
ValueCountFrequency (%)
51.0318033 1
0.2%
51.02975629 1
0.2%
50.8826163 1
0.2%
50.58665849 1
0.2%
50.57254036 1
0.2%
50.49302592 1
0.2%
50.48530558 1
0.2%
50.43370618 1
0.2%
50.15506693 1
0.2%
49.38939539 1
0.2%

Aroon_Up
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct15
Distinct (%)3.1%
Missing14
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean41.610443
Minimum0
Maximum100
Zeros105
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-10-18T13:26:50.936076image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17.1428571
median35.714286
Q378.571429
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)71.428571

Descriptive statistics

Standard deviation35.989773
Coefficient of variation (CV)0.86492164
Kurtosis-1.3843636
Mean41.610443
Median Absolute Deviation (MAD)35.714286
Skewness0.32514257
Sum20264.286
Variance1295.2637
MonotonicityNot monotonic
2024-10-18T13:26:51.004099image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 105
21.0%
100 48
9.6%
7.142857143 43
8.6%
14.28571429 32
 
6.4%
21.42857143 30
 
6.0%
92.85714286 28
 
5.6%
85.71428571 27
 
5.4%
28.57142857 27
 
5.4%
35.71428571 24
 
4.8%
71.42857143 23
 
4.6%
Other values (5) 100
20.0%
ValueCountFrequency (%)
0 105
21.0%
7.142857143 43
8.6%
14.28571429 32
 
6.4%
21.42857143 30
 
6.0%
28.57142857 27
 
5.4%
35.71428571 24
 
4.8%
42.85714286 21
 
4.2%
50 19
 
3.8%
57.14285714 19
 
3.8%
64.28571429 20
 
4.0%
ValueCountFrequency (%)
100 48
9.6%
92.85714286 28
5.6%
85.71428571 27
5.4%
78.57142857 21
4.2%
71.42857143 23
4.6%
64.28571429 20
4.0%
57.14285714 19
 
3.8%
50 19
 
3.8%
42.85714286 21
4.2%
35.71428571 24
4.8%

Aroon_Down
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct15
Distinct (%)3.1%
Missing14
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean55.265474
Minimum0
Maximum100
Zeros59
Zeros (%)11.8%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-10-18T13:26:51.070351image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q121.428571
median57.142857
Q392.857143
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)71.428571

Descriptive statistics

Standard deviation36.826248
Coefficient of variation (CV)0.6663518
Kurtosis-1.4825905
Mean55.265474
Median Absolute Deviation (MAD)35.714286
Skewness-0.18563463
Sum26914.286
Variance1356.1726
MonotonicityNot monotonic
2024-10-18T13:26:51.138599image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
100 101
20.2%
0 59
11.8%
92.85714286 38
 
7.6%
7.142857143 31
 
6.2%
85.71428571 31
 
6.2%
14.28571429 28
 
5.6%
78.57142857 25
 
5.0%
35.71428571 24
 
4.8%
64.28571429 23
 
4.6%
28.57142857 23
 
4.6%
Other values (5) 104
20.8%
ValueCountFrequency (%)
0 59
11.8%
7.142857143 31
6.2%
14.28571429 28
5.6%
21.42857143 22
 
4.4%
28.57142857 23
 
4.6%
35.71428571 24
4.8%
42.85714286 19
 
3.8%
50 21
 
4.2%
57.14285714 20
 
4.0%
64.28571429 23
 
4.6%
ValueCountFrequency (%)
100 101
20.2%
92.85714286 38
 
7.6%
85.71428571 31
 
6.2%
78.57142857 25
 
5.0%
71.42857143 22
 
4.4%
64.28571429 23
 
4.6%
57.14285714 20
 
4.0%
50 21
 
4.2%
42.85714286 19
 
3.8%
35.71428571 24
 
4.8%

Interactions

2024-10-18T13:26:46.086477image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:25.646183image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:26.794378image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:27.888818image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:29.061294image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:30.166977image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:31.273401image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:32.465908image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:33.541635image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:34.721456image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:35.818802image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:36.906104image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:38.047375image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:39.142022image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:40.323870image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:41.463659image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:42.707056image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:43.858381image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:44.911369image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:46.144553image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:25.706402image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:26.854518image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:27.944820image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:29.119020image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:30.227139image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:31.332401image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:32.521094image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:33.596814image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:34.777536image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:35.876215image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:36.963376image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:38.102473image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:39.200304image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:40.383870image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:41.526882image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:42.767319image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:43.915516image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:44.967514image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:46.200554image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:25.760548image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:26.914764image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:27.999956image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:29.177425image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:30.284126image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:31.391402image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:32.575227image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:33.651914image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:34.834843image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:35.933345image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:37.016526image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:38.157547image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:39.259463image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:40.446137image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:41.590148image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:42.831513image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:43.968652image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:45.025581image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:46.258733image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:25.817760image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:26.974453image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:28.055207image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:29.234503image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:30.342124image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:31.449766image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:32.631303image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:33.710120image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:34.889975image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:35.987621image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:37.157928image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:38.214640image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:39.317463image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:40.505415image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:41.650442image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:42.890191image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:44.024650image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:45.083776image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:46.317037image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:25.875862image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:27.034567image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:28.113290image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:29.294503image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:30.401218image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:31.595573image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:32.692455image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:33.769440image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:34.952231image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:36.047338image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:37.212918image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:38.273638image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:39.376591image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:40.567654image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:41.712713image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:42.951406image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:44.083676image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:45.232993image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:46.377283image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:25.935097image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:27.094568image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:28.173294image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:29.355606image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:30.459438image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:31.653716image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:32.751612image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:33.828215image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:35.011357image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:36.106362image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:37.273166image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:38.335791image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:39.436758image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:40.627457image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:41.774969image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:43.012404image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:44.142742image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:45.292094image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:46.434379image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:25.992213image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:27.156568image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:28.231369image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:29.417820image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:30.517492image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:31.714013image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:32.808811image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:33.905438image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:35.069356image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:36.166338image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:37.328440image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:38.393861image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:39.496024image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:40.688538image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:41.833232image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:43.072405image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:44.197806image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:45.352230image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:46.490508image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:26.046211image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:27.209717image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:28.284627image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:29.471913image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:30.574599image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:31.768278image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:32.861408image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:33.960585image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:35.124357image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:36.217599image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:37.384730image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:38.454165image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:39.550352image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:40.744712image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:41.895310image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:43.131537image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:44.252015image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:45.404401image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:46.544584image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:26.099387image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:27.264881image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:28.338728image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:29.528085image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:30.627671image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:31.823942image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:32.914514image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:34.013583image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:35.180651image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:36.271810image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:37.438863image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:38.513824image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:39.607632image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:40.800981image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:41.955310image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:43.190693image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:44.304080image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:45.460086image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:46.601679image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:26.156595image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:27.319952image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:28.396002image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:29.586219image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:30.687809image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:31.879942image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:32.971509image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:34.069651image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:35.239907image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:36.329958image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:37.495229image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:38.570061image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:39.666723image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:40.860098image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:42.029457image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:43.248863image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:44.360439image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:45.518163image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:46.654310image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:26.209705image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:27.375621image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:28.452148image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:29.642271image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:30.743987image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:31.934570image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:33.023606image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:34.122803image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:35.293188image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:36.385231image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:37.547359image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:38.624118image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:39.723014image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:40.917098image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:42.086536image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:43.306941image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:44.414645image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:45.574312image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:46.709335image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:26.266364image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:27.427726image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:28.512271image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:29.696020image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:30.798986image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:31.990826image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:33.075841image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:34.181960image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:35.349338image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:36.440448image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:37.600464image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:38.681208image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:39.777257image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:40.973294image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:42.143753image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:43.367422image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:44.467558image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:45.626377image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:46.768335image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:26.388256image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:27.485797image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:28.571540image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:29.754925image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:30.858991image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:32.052061image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:33.131934image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:34.321465image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:35.407594image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:36.500721image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:37.655611image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:38.739303image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:39.834258image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:41.036590image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:42.201878image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:43.427500image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:44.525725image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:45.684377image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:46.824171image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:26.441361image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:27.537956image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:28.626661image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:29.808924image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:30.916192image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:32.105212image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:33.194014image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:34.375210image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:35.465755image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:36.555829image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:37.709616image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:38.795305image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:39.973799image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:41.094858image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:42.258107image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:43.486668image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:44.577723image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:45.739475image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:46.883411image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:26.498619image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:27.597027image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:28.686662image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:29.872190image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:30.975431image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:32.166025image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:33.257234image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:34.432352image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:35.523563image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:36.615039image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:37.764610image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:38.852365image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:40.028873image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:41.152985image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:42.322321image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:43.556668image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:44.632719image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:45.798805image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:46.944742image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:26.560710image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:27.659026image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:28.749661image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:29.931493image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:31.036677image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:32.227339image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:33.316392image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:34.492447image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:35.586563image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:36.677136image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:37.823770image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:38.912501image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:40.090078image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:41.221286image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:42.386551image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:43.620735image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:44.689838image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:45.857026image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:47.006053image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:26.621709image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:27.723291image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:28.811848image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:29.995768image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:31.097815image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:32.291609image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:33.379568image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:34.554447image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:35.647563image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:36.739407image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:37.883835image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:38.972673image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:40.153282image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:41.290405image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:42.450620image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:43.685889image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:44.750093image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:45.920151image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:47.058746image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:26.677953image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:27.776330image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:28.867973image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:30.051045image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:31.153941image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:32.344910image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:33.430569image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:34.609078image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:35.704177image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:36.793677image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:37.935997image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:39.026747image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:40.208626image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:41.346659image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:42.506619image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:43.741018image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:44.801157image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:45.972199image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:47.114444image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:26.736085image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:27.833662image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:29.003224image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:30.109164image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:31.214148image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:32.408914image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:33.486572image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:34.665195image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:35.759058image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:36.849796image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:37.990256image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:39.082867image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:40.266881image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:41.405659image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:42.561742image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:43.802188image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:44.855255image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-18T13:26:46.029362image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Correlations

2024-10-18T13:26:51.201917image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
52_Week_High52_Week_LowADXAdj CloseAroon_DownAroon_UpBB_lowerBB_upperCloseEMA5HighLowMACDMACD_signalOBVOpenRSI15SMA15Volume
52_Week_High1.0000.816-0.0820.732-0.0820.0350.8660.4070.7280.7380.7340.7300.209-0.1620.6390.7330.0380.762-0.172
52_Week_Low0.8161.000-0.0310.5390.101-0.1360.4790.0090.5310.5070.5410.5340.3240.1090.3540.5360.2330.460-0.069
ADX-0.082-0.0311.0000.2050.199-0.281-0.030-0.3750.2100.2160.2100.2120.552-0.0760.1890.2110.4370.211-0.050
Adj Close0.7320.5390.2051.0000.208-0.2010.8190.6101.0000.9930.9980.9980.3860.0690.9010.9950.3290.959-0.430
Aroon_Down-0.0820.1010.1990.2081.000-0.547-0.248-0.3440.2110.1730.2100.2130.6060.6450.2550.2050.7170.038-0.068
Aroon_Up0.035-0.136-0.281-0.201-0.5471.0000.2230.325-0.203-0.178-0.199-0.207-0.642-0.578-0.219-0.202-0.684-0.0540.170
BB_lower0.8660.479-0.0300.819-0.2480.2231.0000.8070.8170.8440.8210.817-0.116-0.3070.6980.821-0.2520.905-0.220
BB_upper0.4070.009-0.3750.610-0.3440.3250.8071.0000.6070.6340.6100.607-0.453-0.2830.4880.611-0.4910.703-0.267
Close0.7280.5310.2101.0000.211-0.2030.8170.6071.0000.9930.9980.9980.3900.0680.9030.9950.3340.959-0.431
EMA50.7380.5070.2160.9930.173-0.1780.8440.6340.9931.0000.9940.9940.3710.0090.8970.9940.2730.978-0.424
High0.7340.5410.2100.9980.210-0.1990.8210.6100.9980.9941.0000.9980.3890.0630.8970.9980.3220.961-0.414
Low0.7300.5340.2120.9980.213-0.2070.8170.6070.9980.9940.9981.0000.3920.0650.9000.9980.3290.960-0.441
MACD0.2090.3240.5520.3860.606-0.642-0.116-0.4530.3900.3710.3890.3921.0000.3590.4430.3890.8750.259-0.147
MACD_signal-0.1620.109-0.0760.0690.645-0.578-0.307-0.2830.0680.0090.0630.0650.3591.0000.0390.0580.609-0.1610.010
OBV0.6390.3540.1890.9010.255-0.2190.6980.4880.9030.8970.8970.9000.4430.0391.0000.8950.3800.865-0.432
Open0.7330.5360.2110.9950.205-0.2020.8210.6110.9950.9940.9980.9980.3890.0580.8951.0000.3130.962-0.430
RSI150.0380.2330.4370.3290.717-0.684-0.252-0.4910.3340.2730.3220.3290.8750.6090.3800.3131.0000.120-0.121
SMA150.7620.4600.2110.9590.038-0.0540.9050.7030.9590.9780.9610.9600.259-0.1610.8650.9620.1201.000-0.386
Volume-0.172-0.069-0.050-0.430-0.0680.170-0.220-0.267-0.431-0.424-0.414-0.441-0.1470.010-0.432-0.430-0.121-0.3861.000

Missing values

2024-10-18T13:26:47.209381image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-10-18T13:26:47.376698image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2024-10-18T13:26:47.612461image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

DateOpenHighLowCloseAdj CloseVolumeSMA15EMA5RSI15BB_upperBB_lowerMACDMACD_signalOBV52_Week_High52_Week_LowADXAroon_UpAroon_Down
02022-10-17141.070007142.899994140.270004142.410004140.84939685250900NaNNaNNaNNaNNaNNaNNaN85250900.0NaNNaNNaNNaNNaN
12022-10-18145.490005146.699997140.610001143.750000142.17472899136600NaNNaNNaNNaNNaNNaNNaN184387500.0NaNNaNNaNNaNNaN
22022-10-19141.690002144.949997141.500000143.860001142.28350861758300NaNNaNNaNNaNNaNNaNNaN246145800.0NaNNaNNaNNaNNaN
32022-10-20143.020004145.889999142.649994143.389999141.81868064522000NaNNaNNaNNaNNaNNaNNaN181623800.0NaNNaNNaNNaNNaN
42022-10-21142.869995147.850006142.649994147.270004145.65615886548600NaN144.136002NaNNaNNaNNaNNaN268172400.0NaNNaNNaNNaNNaN
52022-10-24147.190002150.229996146.000000149.449997147.81224175981900NaN145.907333NaNNaNNaNNaNNaN344154300.0NaNNaNNaNNaNNaN
62022-10-25150.089996152.490005149.360001152.339996150.67059374732300NaN148.051554NaNNaNNaNNaNNaN418886600.0NaNNaNNaNNaNNaN
72022-10-26150.960007151.990005148.039993149.350006147.71336488194300NaN148.484372NaNNaNNaNNaNNaN330692300.0NaNNaNNaNNaNNaN
82022-10-27148.070007149.050003144.130005144.800003143.213226109180200NaN147.256249NaNNaNNaNNaNNaN221512100.0NaNNaNNaNNaNNaN
92022-10-28148.199997157.500000147.820007155.740005154.033325164762400NaN150.084168NaNNaNNaNNaNNaN386274500.0NaNNaNNaNNaNNaN
DateOpenHighLowCloseAdj CloseVolumeSMA15EMA5RSI15BB_upperBB_lowerMACDMACD_signalOBV52_Week_High52_Week_LowADXAroon_UpAroon_Down
4912024-10-01229.520004229.649994223.740005226.210007226.21000763285000224.902000228.05414052.404266211.585024234.3464061.6955730.5259621.735760e+09237.229996164.08000213.73281021.42857150.000000
4922024-10-02225.889999227.369995223.020004226.779999226.77999932880600225.176666227.62942653.175201211.822987233.8363001.5892850.3357391.768640e+09237.229996164.08000212.80330314.28571442.857143
4932024-10-03225.139999226.809998223.320007225.669998225.66999834044200225.369999226.97628451.436833212.114153233.2183481.3993530.1166461.734596e+09237.229996164.08000211.9401917.14285735.714286
4942024-10-04227.899994228.000000224.130005226.800003226.80000337245100225.656666226.91752353.108861212.150372233.1078431.3247420.0336271.771841e+09237.229996164.08000211.4046410.00000028.571429
4952024-10-07224.500000225.690002221.330002221.690002221.69000239505400226.014666225.17501645.516014212.111479233.0578080.843553-0.3580491.732336e+09237.229996164.08000210.9200340.00000021.428571
4962024-10-08224.300003225.979996223.250000225.770004225.77000431855700226.613333225.37334651.453447212.113259233.1081710.782411-0.3353531.764192e+09237.229996164.08000210.3984120.00000014.285714
4972024-10-09225.229996229.750000224.830002229.539993229.53999333591100227.203333226.76222856.180989212.058763233.3619521.026331-0.0731471.797783e+09237.229996164.08000210.27300285.7142867.142857
4982024-10-10227.779999229.500000227.169998229.039993229.03999328183500227.214666227.52148355.414173212.015719233.5489251.1658540.0531011.769599e+09237.229996164.08000210.15655178.5714290.000000
4992024-10-11229.300003229.410004227.339996227.550003227.55000331759200227.171333227.53099053.100118212.165725233.7207051.1430210.0242151.737840e+09237.229996164.08000210.04841771.42857135.714286
5002024-10-14228.699997231.729996228.600006231.300003231.30000339882100227.493333228.78732857.846842212.291418234.0882261.4112520.2339561.777722e+09237.229996164.08000210.49197264.28571428.571429